Solar Thermal power systems

Cover imagePaper critically reviews the reliability impacts of major smart grid resources.

Smart grid gives customer the opportunity to declare their demand together with DRL.

In 1st stage, SCUC of hybrid power system is solved BRCFF algorithm.

In 2nd stage, reserve settlement scheme problem is addressed.

Proposed algorithm is demonstrated on IEEE RTS 24 bus system.

This paper critically reviews the reliability impacts of major smart grid resources such as solar energy and demand response (DR). It is therefore important to develop a technique for the integration of solar and thermal generation system. High solar penetration can lead to high-risk level in the power system reliability. In order to maintain the system reliability, solar power dispatch is usually controlled and the energy storage is considered for smoothing out the fluctuations. This smart grid environment gives customer the opportunity to declare their own energy requirements together with their desired reliability levels (DRL) to independent system operator (ISO) through demand response provider (DRP). Based on the proposed model, firstly, a security-constrained unit commitment (SCUC) problem for the solar/thermal power system incorporating DR is solved using binary real coded firefly (BRCFF) algorithm. Secondly, the different reserve settlement schemes in the deregulated frame work are discussed based on their demand and DRL of the DRP. The effectiveness of the proposed model is demonstrated on IEEE RTS 24 bus test system by comparing its performance with other methods reported in the literature.

Keywords

  • Demand response;
  • Energy storage;
  • Reserve payment;
  • Firefly algorithm;
  • Reliability;
  • Security-constrained unit commitment
Source: www.sciencedirect.com
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