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This paper assesses the possible integration of a massive PV resource into the power generation mix in Japan using a high time-resolution optimal power generation mix model. The feature of the model allows us to explicitly consider actual PV and wind output variability in 10-minute resolution on 365 days. Simulation results reveal that both the suppression control of PV output and rechargeable battery...
Since renewable sources, such as wind and solar power plants, suffer from their stochastic nature, their behavior on market is very delicate. In order to diversify the risk, a concept of virtual power plant is developed. The virtual power plant is consisted of several renewable energy sources and at least one conventional power plant. The production of renewable energy sources cannot be perfectly...
Plug-in hybrid electric vehicles are a midterm solution to reduce the transportation sector's dependency on oil. However, if implemented in a large scale without control, peak load increases significantly and the grid may be overloaded. Two algorithms to address this problem are proposed and analyzed. Both are based on a forecast of future electricity prices and use dynamic programming to find the...
This paper presents a comprehensive modeling approach that addresses the long-term generation expansion planning problem for an investor firm operating in a deregulated market environment. The mathematical model facilitates the ability of multi-period investments in multi-technology generation options. This work provides insight into the nature of the planning problem by determining optimal timing...
Locational marginal prices (LMP) are important pricing signals for the participants of competitive electricity markets, as the effects of transmission losses and binding constraints are embedded in LMPs. This paper presents a software tool that evaluates the nodal marginal prices considering losses and congestion. The initial dispatch is based on all the electricity transactions negotiated in the...
In the current research trend, numerous publications dealing with investment decisions focus on modeling approaches adapted to the liberalized electricity market. Among these, short-term risks are however seldom sufficiently considered due to the significantly simplified modeling of unit commitment. Within this paper, a short-term unit commitment model with a high level of detail is extended into...
Energy-saving generation dispatching can effectively reduce the energy consumption and harmful gas emission, which is of significant social benefits, helps to further clean energy resources development and promote the sustainable development of power system and the whole society. Therefore, it is of theoretical and practical significance. The establishment of a suit of effective models and algorithms...
A well designed hybrid energy system can be cost effective, has a high reliability and can improve the quality of life in remote rural areas. The economic constraints can be met, if these systems are fundamentally well designed, use appropriate technology and make use effective dispatch control techniques. The first part of this tri-series paper, presents the analysis and design of a mixed integer...
With the process of electricity market-oriented, taking advantage of the capability of electricity generation of autonomous power plant, large-scale power consuming corporation can decrease electricity expenses and boost competence of the corporation. However, forecasting accuracy of load is low due to private characteristics of large-scale power consuming corporation, it is difficult to satisfy the...
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